Martin Gebser

University of Potsdam, Aalto University

Papers

8

Total Citations

85

H-Index

7

About

Martin Gebser is a prominent researcher specializing in Answer Set Programming (ASP), knowledge representation, automated reasoning, and their real-world applications in robotics, logistics, and stream processing. His work has significantly advanced the theory and implementation of ASP systems, particularly through contributions to multi-shot ASP solving — a flexible paradigm enabling continuous grounding and solving processes that adapt dynamically to evolving problem contexts, implemented in the widely-used system *clingo*. Gebser has demonstrated ASP's practical versatility through compelling case studies, including the classic Ricochet Robots puzzle, which has become an established benchmark in the ASP community, accumulating 15 citations across two dedicated publications. His research into stream reasoning addresses the complex challenge of applying sophisticated logical inference to high-velocity data streams in domains such as ambient assisted living and cognitive robotics. More recently, his work on time-bounded planning for logistics robots (19 citations) has positioned ASP as a powerful tool for industrial automation and autonomous systems. Across his career, Gebser has consistently bridged theoretical innovation with practical deployment, making him a key figure in pushing ASP beyond academic settings into demanding real-world environments.

Research Focus

Key Achievements

7
H-Index
8
Papers
85
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
ASP-Based Time-Bounded Planning for Logistics Robots
19 citations · 2018
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Potsdam, Aalto University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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